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All functions

add_scores()
Calculates and adds the scores to a fitted model object
coef(<bgw_mle>)
Coefficients of a bgw_mle object
converged()
Check if model has converged
glance(<bgw_mle>)
Glance a bgw_mle object
has_scores()
Check if the model object contains the scores
is_bgw()
Check if the model object is of class bgw_mle
load_packages()
Load packages
logLik(<bgw_mle>)
Log-likelihood of a bgw_mle object
nobs(<bgw_mle>)
Number of observations of a bgw_mle object
poe_test()
Test for the difference in independent empirical distributions
prep_for_gt()
Prepare model output for gt
print(<poe_test>)
Generic print method for poe_test()
repeat_rows()
Repeat rows
estfun(<bgw_mle>) bread(<bgw_mle>)
Sandwich estimator methods for bgw_mle objects
scores()
Extract the empirical estimation function
search_starting_values()
Function to search for starting values
stars()
Create stars
suggest_parallel()
Function to suggest parallel settings
tidy(<bgw_mle>)
Tidy a bgw_mle object
vcov(<bgw_mle>)
Variance-covariance matrix of a bgw_mle object